обновлено 23 часа назад
Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (AI) (Python/LLM): Building production backend services, APIs, and infrastructure that bring LLM capabilities to Paradox’s AI products at scale with an accent on performance, reliability, observability, and distributed systems. Focus on designing LLM evaluation frameworks, integrating AI models into production flows, and developing resilient cloud-based architectures.
Location: Tel Aviv, Israel; hybrid work with three days per week in the office and two days at home
Company
is a Fortune 500 company and AI platform for managing people, money, and agents; Paradox develops conversational AI products within .
What you will do
- Design and implement high-performance backend services and APIs for core AI products.
- Build production infrastructure that integrates LLM capabilities into scalable, resilient backend architectures.
- Bridge AI research and production software by improving latency, reliability, and observability.
- Establish engineering standards through code reviews, architectural design, distributed-systems practices, and Clean Code.
- Design and implement LLM evaluation frameworks for integrating new AI models into production flows.
- Make efficient software-building decisions based on product challenges.
Requirements
- 3+ years of hands-on backend software development experience focused on complex distributed systems.
- Expertise in Python, modern backend technologies, and API design.
- Production experience developing LLM-based products, including agents or RAG systems.
- System architecture experience in cloud environments such as AWS or GCP, including CI/CD flows.
- Experience with relational and non-relational databases.
- Strong understanding of automated testing across the testing pyramid; fluent written and verbal English; authorization to work in Israel.
Nice to have
- Experience with vector databases and LLM observability tools.
- Experience with conversational AI or complex dialogue management systems.
- Familiarity with MLOps and monitoring LLM performance in production.
- Background in data science or data engineering.
Culture & Benefits
- Hybrid schedule combining in-person collaboration with remote work.
- Flexible scheduling aligned with business, team, and personal needs.
- Reasonable accommodations are available during the application process.
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